Dir-Data Specialist

PassFort; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Moody's Analytics seeks a seasoned Director – Data Specialist to lead regional data quality and coverage strategy across global datasets. You will partner with Sales, Product Strategy, Engineering, and Data Governance to drive scalable, AI-enabled data initiatives and governance frameworks.

You will coach and develop managers across geographies, own end-to-end data quality outcomes, and present insights to senior leadership.

Qualifications

• Bachelor's degree required; advanced degree preferred.
• 10+ years in data management or data operations with leadership experience.
• Strong cross-functional collaboration and communication skills.

Responsibilities

• Define and own regional data quality, coverage, and enrichment strategy.
• Lead managers and contributors across geographies, building a high-performance team.
• Ensure governance, lineage, and audit standards for data initiatives.
• Partner with Sales, Product Strategy, Engineering, and Data Governance to translate needs into scalable data programs.
• Oversee data remediation and transformation initiatives with measurable impact.
• Monitor regional metrics and present findings to senior leadership.
• Sponsor proposals for process optimization and AI-enabled remediation.
• Promote a data-driven culture and knowledge sharing across teams.

Skills

Data governance

Data quality management

Leadership

Stakeholder management

AI strategy

Program management

Education

Bachelor's degree

Advanced degree in Data Science or related field

Tools

Databricks

Power BI

SQL

Python

Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills And Competencies

• 10+ years of progressive experience in data management, data quality, or data operations, with at least 5 years in a senior people leadership role overseeing multi-geography teams
• Demonstrated expertise in defining and executing regional data quality, coverage, and enrichment strategies aligned to broader business objectives
• Hands-on proficiency with modern data and analytics tools including Excel, Power BI, and SQL; experience with Python, Databricks, and large-scale data platforms is highly desirable
• Proven ability to lead, coach, and develop managers and individual contributors across multiple locations, fostering a culture of accountability, inclusion, and continuous improvement
• Strong cross-functional partnership and stakeholder management skills, with demonstrated ability to translate complex data insights and strategy into clear, actionable communication for senior audiences
• Experience with data governance, lineage, audit frameworks, and the design of scalable quality control and validation frameworks
• Strong program management capabilities with experience overseeing multiple concurrent, complex initiatives across cross-functional environments
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.

Education

• Bachelor's degree required; advanced degree in Data Science, Information Management, Business, or a related field preferred

Responsibilities

The Director – Data Specialist leads regional data quality and coverage strategy for Moody's Company Data, driving scalability, innovation, and long-term improvement across global datasets and teams.

• Define and own the regional strategy for data quality, coverage, and enrichment, ensuring alignment with Moody's broader Relationships Data and business objectives
• Lead, coach, and develop managers and individual contributors across multiple geographies, building a strong leadership bench and fostering a high-performance culture
• Own end-to-end accountability for regional data quality and coverage outcomes, ensuring remediation and enrichment efforts meet defined governance, lineage, and audit standards
• Serve as a strategic partner to Sales, Product Strategy, Content, Engineering, and Data Governance teams, translating business needs into scalable data initiatives and roadmap items
• Provide senior oversight of multiple data remediation, enrichment, and transformation initiatives, ensuring projects are aligned to strategic goals, adequately resourced, and delivering measurable impact
• Monitor regional performance metrics related to data quality, coverage, efficiency, and throughput, and present findings and recommendations to senior leadership audiences
• Sponsor and approve technical proposals for process optimization, automation, and AI-enabled remediation, leveraging tools such as Databricks, Power BI, and generative AI platforms
• Champion a technology-enabled, data-driven culture, promoting best practices in data management and encouraging knowledge sharing across teams and regions

About The Team

Our Data Services team sits at the heart of Moody's Analytics data operations, responsible for ensuring the quality, completeness, and consistency of Moody's Company Data across global markets. We partner closely with Sales, Product Strategy, Engineering, and Data Governance to drive data excellence that directly supports our clients and business growth. By joining our team, you will be part of high-impact work that spans multiple geographies and datasets, contributing to an environment that embraces innovation, continuous improvement, and the responsible adoption of AI-driven capabilities to shape the future of data at Moody's.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.